Mammo AI

AI analysis of mammography images

Mammo AI is AI that helps physicians read mammograms faster and more accurately, plus a women's health app that identifies high-risk women and builds Central Asia's first local breast health dataset.

The problem

In Uzbekistan roughly 94,000 cancer patients are under observation (WHO, 2024), and the problem grows more pressing every year. When breast cancer is detected early, the chances of successful treatment rise significantly.

Shortage of radiologists
Image analysis takes a long time
Screening slows down in regions with few specialists

The solution

Using artificial intelligence, it flags suspicious changes, speeds up report preparation and helps detect breast cancer early.

Flagging - Suspicious changes
Reports - Faster preparation
Integration - With DICOM and PACS
Women's health app - Identifies high-risk women and refers them to screening

Founders

Shohzoda Muminjonova

Founder & CEO at Mammo AI

A founder at the intersection of medicine and artificial intelligence: 3 years of medical education and hands-on experience working directly with oncology centres and radiologists. Co-author of more than 10 international scientific papers and a prize-winner at three hackathons, including a national-level 1st place. Knows the clinical problem from the inside.

Achievements

AI National Hackathon Fergana 2026 - 1st place

IT Park Incubation Program Demo Day - 2nd place
Yandex and Technovation hackathon 2024 - 2nd place

Three competitions, a prize in all three - not a chance result, but a repeated ability to turn an idea into a working product in a short time.

Leadership experience

Ibrat Debate - led a project to expand the debate movement across 19 districts of the Fergana region.

This shows operational scale: managed the roll-out of a single initiative across several dozen localities. Mammo AI's expansion model is the same - clinic by clinic.

Commercial experience

Yusro Art Shop - 1 year. Worked on bringing products to market and on sales processes via Uzum Market.

Education and research

3 years of medical education - combined with practical experience working with oncology centres and radiologists.

Co-author of more than 10 international scientific papers - a rare figure for a 19-year-old.

Nominated several times for the university rector's scholarship.

Why this team

The founder's formula: "I know the clinical problem from the inside, and our technical team has experience building healthcare products."

This combination is decisive in medical AI - the product is being built around radiologists' real workflow, because the founder has seen that workflow first-hand.

Maqsadbek Usmonov

Frontend developer at Mammo AI